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Challenges for biophysical modeling of microstructure.

Ileana O Jelescu1, Marco Palombo2, Francesca Bagnato3

  • 1Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, EPFL ENT-R CIBM-AIT, Station 6, 1015, Lausanne, Switzerland.

Journal of Neuroscience Methods
|July 22, 2020
PubMed
Summary
This summary is machine-generated.

This review explores challenges in developing biophysical models for diffusion MRI, from initial design to clinical use. It highlights progress and remaining issues in microstructure estimation and pathology applications.

Keywords:
Biophysical modelsBrain tissueClinical translationDiffusion MRIMicrostructureValidation

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Area of Science:

  • Neuroimaging
  • Biophysical Modeling
  • Diffusion MRI

Background:

  • Biophysical modeling in diffusion MRI has advanced significantly over 25 years.
  • Translating these models from research to clinical practice involves numerous challenges.

Purpose of the Study:

  • To review the journey of biophysical models in diffusion MRI from conception to clinical implementation.
  • To identify overcome hurdles and outstanding issues in model development and application.

Main Methods:

  • Describing the selection of tissue microstructure features and acquisition protocols for model-based estimation.
  • Discussing model performance testing via numerical simulations and experimental data, including fitting strategies and validation.
  • Exploring model performance in pathological conditions (tumors, ischemia, demyelinating diseases) and the need for dedicated models.

Main Results:

  • Several challenges in biophysical model development and clinical translation have been addressed.
  • Key unresolved issues include establishing microstructural ground truth, validating parameters, standardizing models across regions/pathologies, and improving interdisciplinary communication.

Conclusions:

  • Significant progress has been made in biophysical modeling for diffusion MRI, but substantial challenges remain for widespread clinical adoption.
  • Addressing the identified unresolved issues is crucial for advancing the field and realizing the full potential of diffusion MRI in clinical settings.